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Abstract

The most recent genome-wide association study in amyotrophic lateral sclerosis (ALS) demonstrates a disproportionate contribution from low-frequency variants to genetic susceptibility to disease. We have therefore begun Project MinE, an international collaboration that seeks to analyze whole-genome sequence data of at least 15 000 ALS patients and 7500 controls. Here, we report on the design of Project MinE and pilot analyses of successfully sequenced 1169 ALS patients and 608 controls drawn from the Netherlands. As has become characteristic of sequencing studies, we find an abundance of rare genetic variation (minor allele frequency < 0.1%), the vast majority of which is absent in public datasets. Principal component analysis reveals local geographical clustering of these variants within The Netherlands. We use the whole-genome sequence data to explore the implications of poor geographical matching of cases and controls in a sequence-based disease study and to investigate how ancestry-matched, externally sequenced controls can induce false positive associations. Also, we have publicly released genome-wide minor allele counts in cases and controls, as well as results from genic burden tests.

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Location
Title
Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis
Author
Wouter Van Rheenen 1   VIAFID ORCID Logo  ; Pulit, Sara L 1   VIAFID ORCID Logo  ; Dekker, Annelot M 1 ; Ahmad Al Khleifat 2 ; Brands, William J 1 ; Iacoangeli, Alfredo 3 ; Kenna, Kevin P 4 ; Kavak, Ersen 5 ; Kooyman, Maarten 6 ; McLaughlin, Russell L 7 ; Middelkoop, Bas 1 ; Moisse, Matthieu 8 ; Schellevis, Raymond D 1 ; Shatunov, Aleksey 2 ; Sproviero, William 2 ; Tazelaar, Gijs H P 1 ; Rick A A Van der Spek 1 ; Perry T C Van Doormaal 1 ; Van Eijk, Kristel R 1 ; Joke Van Vugt 1 ; Basak, A Nazli 9 ; Blair, Ian P 10 ; Glass, Jonathan D 11 ; Hardiman, Orla 12 ; Hide, Winston 13 ; Landers, John E 4 ; Mora, Jesus S 14 ; Morrison, Karen E 15 ; Newhouse, Stephen 16 ; Robberecht, Wim 17 ; Shaw, Christopher E 2 ; Shaw, Pamela J 18 ; Philip Van Damme 17 ; Van Es, Michael A 1 ; Wray, Naomi R 19 ; Al-Chalabi, Ammar 2 ; Leonard H Van den Berg 1 ; Veldink, Jan H 1 

 Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands 
 Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, UK 
 Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK 
 Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA 
 Genomize Inc. Bogazici University, Technology Transfer Region, ETAB, Istanbul, Turkey 
 SURFsara, Amsterdam, The Netherlands 
 Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland 
 Department of Neurosciences, KU Leuven - University of Leuven, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), Leuven, Belgium; VIB, Vesalius Research Center, Laboratory of Neurobiology, Leuven, Belgium; Department of Neurology, University Hospitals Leuven, Leuven, Belgium 
 Neurodegeneration Research Laboratory, Bogazici University, Istanbul, Turkey 
10  Centre for Motor Neuron Disease Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia 
11  Department Neurology, Emory University School of Medicine, Atlanta, GA, USA; Emory ALS Center, Emory University School of Medicine, Atlanta, GA, USA 
12  Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin, Ireland; Department of Neurology, Beaumont Hospital, Dublin, Ireland 
13  Biostatistics Department, Harvard School of Public Health, Boston, MA, USA; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK 
14  Department of Neurology, Hospital San Rafael, Madrid, Spain 
15  Faculty of Medicine, University of Southampton, Southampton, UK 
16  Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK 
17  VIB, Vesalius Research Center, Laboratory of Neurobiology, Leuven, Belgium; Department of Neurology, University Hospitals Leuven, Leuven, Belgium; Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven - University of Leuven, Leuven, Belgium 
18  Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK 
19  Queensland Brain Institute, The University of Queensland, Brisbane, Qld, Australia 
Volume
26
Issue
10
Pages
1537-1546
Publication year
2018
Publication date
Oct 2018
Publisher
Nature Publishing Group
Place of publication
Leiden
Country of publication
United States
Publication subject
ISSN
10184813
e-ISSN
14765438
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2018-06-28
Milestone dates
2018-05-03 (Registration); 2017-12-12 (Received); 2018-04-26 (Accepted)
Publication history
 
 
   First posting date
28 Jun 2018
ProQuest document ID
2104154166
Document URL
https://www.proquest.com/scholarly-journals/project-mine-study-design-pilot-analyses-large/docview/2104154166/se-2?accountid=208611
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2023-11-24
Database
ProQuest One Academic